## Family: zero_inflated_poisson
## Links: mu = log; zi = logit
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_capita + ln_migrant_pop_perc + ln_tourism_inbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_pubs_sum_per_capita + ln_promed_mentions_per_capita + ln_gdp_per_capita + offset(ln_population)
## zi ~ ln_pubs_sum_per_capita + ln_promed_mentions_per_capita + ln_gdp_per_capita + ln_population + english_spoken
## Data: data[[i]] (Number of observations: 198)
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup samples = 120000
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI
## Intercept -13.80 2.76 -19.51
## zi_Intercept 29.66 6.97 16.72
## ln_livestock_consumption_kg_per_capita -0.41 0.16 -0.61
## ln_migrant_pop_perc 0.21 0.07 0.09
## ln_tourism_inbound_perc 0.12 0.08 -0.02
## ab_export_perc 5.36 1.10 3.05
## health_expend_perc 0.02 0.02 -0.03
## human_consumption_ddd 0.10 0.02 0.07
## english_spoken -0.55 0.14 -0.80
## ln_pubs_sum_per_capita 0.12 0.11 -0.09
## ln_promed_mentions_per_capita 0.25 0.09 0.08
## ln_gdp_per_capita -0.05 0.12 -0.26
## zi_ln_pubs_sum_per_capita -0.07 0.29 -0.65
## zi_ln_promed_mentions_per_capita 0.16 0.34 -0.50
## zi_ln_gdp_per_capita -1.33 0.30 -1.95
## zi_ln_population -1.03 0.23 -1.50
## zi_english_spoken -1.51 0.66 -2.85
## u-95% CI Eff.Sample Rhat
## Intercept -8.88 79 2.04
## zi_Intercept 44.06 1968 1.02
## ln_livestock_consumption_kg_per_capita -0.07 63 4.48
## ln_migrant_pop_perc 0.36 75 2.27
## ln_tourism_inbound_perc 0.25 72 2.42
## ab_export_perc 7.41 123 1.40
## health_expend_perc 0.06 87 1.80
## human_consumption_ddd 0.14 73 2.35
## english_spoken -0.27 75 2.24
## ln_pubs_sum_per_capita 0.32 112 1.47
## ln_promed_mentions_per_capita 0.44 75 2.25
## ln_gdp_per_capita 0.24 77 2.12
## zi_ln_pubs_sum_per_capita 0.49 664 1.05
## zi_ln_promed_mentions_per_capita 0.85 6053 1.01
## zi_ln_gdp_per_capita -0.77 1189 1.03
## zi_ln_population -0.59 2045 1.02
## zi_english_spoken -0.27 1135 1.03
##
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample
## is a crude measure of effective sample size, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## [1] TRUE